no code implementations • 7 Dec 2018 • Koen Lennart van der Veen, Ruben Seggers, Peter Bloem, Giorgio Patrini
Differentially private learning on real-world data poses challenges for standard machine learning practice: privacy guarantees are difficult to interpret, hyperparameter tuning on private data reduces the privacy budget, and ad-hoc privacy attacks are often required to test model privacy.